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Added 1 month ago
Director of Experience and Marketing - Movement Church
Vanderbloemen
Woodstock, ON
…ways, both in person and online. Partnering closely with the Lead Pastor, this position provides strategic oversight while building strong volunteer cultures, sustainable systems, and…
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Lead Sunday morning service worship during services.
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Extreme Networks

Senior Data Scientist-Gen AI, Machine Learning (10483)

Toronto, ON, Canada

Apply on jobs.lever.co About employer

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Job details

Posting language: English
Posted: Sep 30, 2025

Original job description

Senior Data Scientist – (Gen AI, Machine Learning):

Are you energized by the idea of innovating with Generative AI? Do you want to create global impact while tackling challenges at the forefront of Artificial Intelligence? Do you dream of building ground-breaking products that define the future of AI-driven network management? Then come, advance with us at Extreme.

This is a greenfield opportunity to shape next-gen networking experiences at the cutting edge of Generative AI, Machine Learning, Big Data, and Cloud Computing. You will help define every aspect of the user journey, product vision, and technical roadmap, and you will drive innovation from concept to delivery.

There has never been a better time to join Extreme. With multiple acquisitions expanding our portfolio and market strategy, we are experiencing unprecedented growth worldwide. Recognized as a Technology Leader in the Gartner Magic Quadrant and a multi-year Best Employer award winner, Extreme is committed to a culture of diversity, inclusion, and equality, where every employee thrives because of their differences, not despite them.

Our AI Core group is pioneering platforms and solutions for Generative AI, including AI Agents, RAG, Knowledge Bases, Data Mining, Anomaly Detection, and LLM fine-tuning. These innovations power flagship Extreme products while enabling entirely new offerings. Together, we are driving a fundamental shift in how businesses manage networks by building intelligent, high-performance multi-agent systems that perceive, learn, and act in real time.

At Extreme, innovation is not just encouraged, it is expected. Advance with us and help shape the future of network intelligence.

Job Responsibilities

Define and drive the long-term data science and ML strategy, influencing both product direction and organizational priorities
Lead high-impact research initiatives in ML, GenAI, and Graph ML, push the boundaries of applied science, and establish best practices for scalable adoption
Partner with engineering and product leadership to align data science innovation with business goals, shaping platform and infrastructure investments
Mentor and guide staff- and senior-level scientists, set technical direction, and foster a culture of excellence and innovation
Represent the organization externally through publications, talks, and collaborations, strengthening the company’s thought leadership in AI and ML

Requirements:

Degree in Computer Science, Mathematics, or a related field
8+ years of experience in applied ML research and production deployment
3+ years of hands-on experience building Generative AI solutions such as RAG, AI Agents, or LLM fine-tuning in production
Experience with Graph ML and Graph technologies such as GNNs or GraphRAG in production
Proven track record of end-to-end ownership including design, experimentation, validation, deployment, and scaling of ML systems
Experience deploying solutions on cloud platforms such as AWS, Azure, or GCP
Demonstrated ability to solve highly complex, ambiguous, cross-domain problems with measurable business impact

Preferred Qualifications

MS or PhD in Computer Science, Machine Learning, or a related discipline
Experience with distributed Big Data and ML platforms such as Spark, Flink, Kafka, PySpark, or Lakehouse
Recognized track record in the ML and AI community through publications, patents, open-source contributions, or conference talks
Strong ability to influence at the organizational level by driving strategy and fostering cross-functional alignment

Apply on jobs.lever.co About employer

More about this job

Responsibilities

The Senior Data Scientist at Extreme Networks will set the long-term data science and ML direction, lead research into generative AI and graph ML, and work with engineering and product leaders to shape platforms. The role also mentors scientists and represents the company externally.

Requirements

Extreme Networks needs candidates with a degree in computer science, mathematics or a related field and 8+ years of applied ML experience. They also need 3+ years building generative AI solutions such as RAG, AI agents or LLM fine-tuning in production, plus graph ML experience.

Skills

Generative AI
Machine Learning
Retrieval-Augmented Generation (RAG)
AI Agents
LLM fine-tuning
Graph Neural Networks (GNN)
GraphRAG
Graph ML
Apache Spark
Apache Flink
Apache Kafka
PySpark
Lakehouse architecture
AWS
Microsoft Azure
Google Cloud Platform
Big Data
Anomaly detection
Data mining
Applied research
Model deployment
Experiment design
Model validation
Technical leadership
Mentoring

Keywords

Generative AI
GenAI
Machine Learning
Data Scientist
RAG
AI Agents
LLM fine-tuning
Graph ML
GNN
GraphRAG
Knowledge Bases
Anomaly Detection
Data Mining
Spark
Flink
Kafka
PySpark
Lakehouse
AWS
Azure

Seniority

senior

Department

data_analytics

Tools

Spark
Flink
Kafka
PySpark
Lakehouse

Fields of study

Computer Science
Mathematics
Machine Learning

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Jobs in Canada